Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

Ongoing landslides have wreaked havoc in various regions across the globe. This article
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …

Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …

Landslides, the second largest geological hazard after earthquakes, result in significant loss
of life and property. Extracting landslide information quickly and accurately is the basis of …

The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …

This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …

The Himalayan region, a rugged mountain zone is among the most susceptible zones to the
landslide hazard due to its terrain, geography, and active tectonics. Machine learning (ML) …

The main goal of the present study is to generate the GIS-based landslide susceptibility map
(LSM) of Meghalaya, India. For this purpose, two bivariate statistical (FR and SE) and multi …

The aim of this study is to develop landslide susceptibility models for the northern part of the
Bordj Bou Arreridj (BBA) region, Northeast Algeria, to reduce the physical degradation …

Earthquake-induced strong near-fault ground motion is typically accompanied by large-
velocity pulse-like component, which causes serious damage to slopes and buildings …